- The emergence of logistics across Europe
- Big data application in market analysis
- UK logistics in a post-Brexit world
Technological intrusion in the logistics space has resulted in minimizing the current complexity. Trends such as connectivity have resulted in creating new types of service deliveries centered on app-based and marketplace models that are already disrupting the supply chain. The study is broken down into three clusters—technology scenarios, business scenarios and market scenarios—covering the new innovations, business models, and routes and regions that are expected to create a multitude of opportunities in the logistics space.Read more >
Omnichannel fulfillment is an area where bricks-and-mortar retailers have a unique advantage over e-tailers. They can fulfill orders and handle returns from stores to reduce shipping costs and times, and capture orders in any channel, regardless of that channel’s ability to fulfill the order. To support these new cross-channel fulfillment scenarios, retailers must overhaul their IT systems and logistics to gain a single view of inventory across the entire distribution network.
What Will You Learn?
In this webinar we highlight how consumers' heightened expectations in an omnichannel era are forcing retailers to improve and innovate fulfillment. For example, the growth of buy online pickup in store (BOPIS) responds to consumers’ demands for convenience and instant gratification. But many retailers have struggled to do omnichannel fulfillment well, so we explain what you need to be successful in terms of technology, logistics and supply chain management.
Who Should Attend?
Roles with business responsibility in business processes in the Retail industry, for instance, Marketers, Store Managers, CIOs, CMOs, Logistics Managers, etc.
How to use streaming, containers and a microservices design
Having heard the high-level rationale for the rendezvous architecture in the introduction to this series, in this session we dug in deeper to talk about how and why the pieces fit together. In terms of components, we covered why streams work, why they need to be persistent, performant and pervasive in a microservices design and how they provide isolation between components. From there, we talked about some of the details of the implementation of a rendezvous architecture including discussion of when the architecture is applicable, key components of message content and how failures and upgrades are handled. We touched on the monitoring requirements for a rendezvous system but will save the analysis of the recorded data for later.
At the end of this workshop, you should have a clear understanding of the fit and finish between the parts of the rendezvous model and should be able to evaluate its applicability in your situation.
SAP solutions for the Internet of Things provide everything needed to continuously generate data-driven intelligence from connected things, people and devices to optimize business processes and automate operations.
Please join us to learn how SAP can help you to transform existing business processes and customer experience using Internet of Things for Transportation and Logistics. During this webinar, use cases will be described which help companies to;
• Gain real-time transparency into transportation progress
• Automate processes for a huge boost in efficiency
• Increase goods throughput to drive growth
• Improve asset utilization and safety
• Shrink idle times and reduce fuel consumption
This webinar will highlight new opportunities for mobile robots and automation across the major applications as they start to gain commercial momentum. This briefing on mobile robots in the logistics front will explore various trends and highlight the potential benefits of incorporating such mobile technologies.
Attend this webcast to discover:
·How robotics are likely to play a critical role in the future logistics supply chain
·The next "best thing" in robotics in the warehouse
·The mobile robotics segment of unmanned vehicles, such as unmanned ground vehicles and commercial drones, and their implications on creating new logistic services
·How automated guided vehicles create tremendous value and paybacks to shareholders, incorporating them as part of the warehouse management solutions
·How mobile robots will play a key role in the fourth industrial revolution, leading to the genesis of smart factories
·What firms typically see from an ROI perspective and how that trend is changing
·How to manage or improve the skill level of the workforce to deploy robotic solutions
·How to market the robotic landscape and the usage of futuristic technology in the marketplace
This talk tells the story of implementation and optimization of a sparse logistic regression algorithm in spark. I would like to share the lessons I learned and the steps I had to take to improve the speed of execution and convergence of my initial naive implementation. The message isn’t to convince the audience that logistic regression is great and my implementation is awesome, rather it will give details about how it works under the hood, and general tips for implementing an iterative parallel machine learning algorithm in spark.
The talk is structured as a sequence of “lessons learned” that are shown in form of code examples building on the initial naive implementation. The performance impact of each “lesson” on execution time and speed of convergence is measured on benchmark datasets.
You will see how to formulate logistic regression in a parallel setting, how to avoid data shuffles, when to use a custom partitioner, how to use the ‘aggregate’ and ‘treeAggregate’ functions, how momentum can accelerate the convergence of gradient descent, and much more. I will assume basic understanding of machine learning and some prior knowledge of spark. The code examples are written in scala, and the code will be made available for each step in the walkthrough.
Lorand is a data scientist working on risk management and fraud prevention for the payment processing system of Zalando, the leading fashion platform in Europe. Previously, Lorand has developed highly scalable low-latency machine learning algorithms for real-time bidding in online advertising.
Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.
- Logistic regressions fundamentals and how to interpret estimates
- Binomial and Multinomial logistic regressions
- Implement logistic regressions in R
- Performance measurement in logistic regressions
- Generating and understanding ROC curve
- Building confusion metrics and understanding its elements
- Examples of model application in industry
- Learn about new advanced IDE
Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.
Adoption of new technologies in logistics has become imperative for industry participants as supply chain visibility, faster delivery timelines, and focus on saving costs without compromising on service offerings are becoming norms of day-to-day business across industries. Technology advancements are not just bridging the gap of efficiencies; they are providing the industry with new channels and business models, and hence a new dimension to evolution. Adoption of these technologies is not a matter of gaining an edge over competitors, but a matter of survival.Read more >
Transport infrastructure is a key facilitator for the efficiency of a company’s supply chain. Due to significant improvements in transport infrastructure within Sub-Saharan Africa, logistics in the region should also see positive impacts. This briefing will investigate transport infrastructure development in Angola, Ghana, Kenya, Nigeria, Mozambique and Tanzania, and its impact on the logistics market.
Why You Should Attend:
- Learn about transport infrastructure development in Sub-Saharan Africa
- Identify the impact of transport infrastructure development on the efficiency of logistics
- Discover how efficiency improvements will contribute to the ease of doing business within the region
For many businesses, the ability to be agile, offer great customer experiences and create innovations hits a roadblock with EDI. The famously complex messaging standard can hinder effective B2B communication.
But one integrated transportation and logistics company, Redwood Logistics, based in Chicago, partnered with MuleSoft to not only innovate on top of EDI, but harness digital transformation to create an entirely new platform service offering
In this webinar attendees will learn about:
– The business and technical landscape that led Redwood Logistics to pivot to a new service offering and create a better business intelligence platform
– How they overcame the challenges presented by B2B/EDI
– Best practices to apply API-led connectivity to B2B communication
– The positive business outcomes from Redwood’s digital transformation initiatives
Modern supply chain organizations face a host of challenges, with increasingly complex supply chains that span a growing array of networks and technologies alongside demands for real-time results. Shipping errors and delays in particular can wreak havoc up and down the supply chain and drive customers to competitors. So how can SAP customers avoid these risks and gain full transparency along the entire global supply chain?
Attend this webinar and see how you can address these risks proactively, across all modes of transportation, without the need for an on-premise transportation management system, using a supply chain control tower approach. With two customer success stories as a guide, you will learn how to:
• Use SAP HANA to run planning, optimization, and accounting for supply chains from a single, centralized supply chain control tower location
• Solve tradeoffs between transport costs, inventories, lead times, and CO2 emissions, and make fact-based decisions in real time, by leveraging integrated ERP data
• Get up and running with an agile and flexible supply chain system within three months using SAP Cloud Platform
If a volcano erupts in Iceland, why is Hong Kong your first supply chain casualty? And how do you figure out the most efficient route for bike share replacements?
In this presentation, Chief Data Scientist Dmitri Adler will walk you through some of the most successful use cases of supply-chain management, the best practices for evaluating your supply chain, and how you can implement these strategies in your business.